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Farzana Anowar
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Conceptual and empirical comparison of dimensionality reduction algorithms (pca, kpca, lda, mds, svd, lle, isomap, le, ica, t-sne)
F Anowar, S Sadaoui, B Selim
Computer Science Review 40, 100378, 2021
4792021
A critical review on world university ranking in terms of top four ranking systems
F Anowar, MA Helal, S Afroj, S Sultana, F Sarker, KA Mamun
New trends in networking, computing, e-learning, systems sciences, and …, 2015
612015
CMED: Cloud based medical system framework for rural health monitoring in developing countries
K Sailunaz, M Alhussein, M Shahiduzzaman, F Anowar, KA Al Mamun
Computers & Electrical Engineering 53, 469-481, 2016
432016
Detection of auction fraud in commercial sites
F Anowar, S Sadaoui
Journal of theoretical and applied electronic commerce research 15 (1), 81-98, 2020
312020
Incremental neural-network learning for big fraud data
F Anowar, S Sadaoui
2020 IEEE international conference on systems, man, and cybernetics (SMC …, 2020
272020
Incremental learning framework for real‐world fraud detection environment
F Anowar, S Sadaoui
Computational Intelligence 37 (1), 635-656, 2021
262021
A review on diabetes patient lifestyle management using mobile application
MA Basar, HN Alvi, GN Bokul, MS Khan, F Anowar, MN Huda, ...
2015 18th International Conference on Computer and Information Technology …, 2015
212015
Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE), Comput. Sci. Rev., 40, 100378
F Anowar, S Sadaoui, B Selim
ISI, 2021
202021
Auction fraud classification based on clustering and sampling techniques
F Anowar, S Sadaoui, M Mouhoub
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
182018
Multi-class ensemble learning of imbalanced bidding fraud data
F Anowar, S Sadaoui
Advances in Artificial Intelligence: 32nd Canadian Conference on Artificial …, 2019
102019
Chunk-based incremental classification of fraud data
F Anowar, S Sadaoui
The Thirty-Third International Flairs Conference, 2020
92020
Conceptual and empirical comparison of dimensionality reduction algorithms (pca, kpca, lda, mds, svd, lle, isomap, le, ica, t-sne). Comput Sci Rev. 2021; 40: 100378
F Anowar, S Sadaoui, B Selim
72021
empirical comparison of dimensionality reduction algorithms (pca, kpca, lda, mds, svd, lle, isomap, le, ica, t-sne)., 2021, 40
F Anowar, S Sadaoui, BS Conceptual
DOI: https://doi. org/10.1016/j. cosrev, 100378, 2021
72021
A survey on dimensionality reduction techniques for time-series data
M Ashraf, F Anowar, JH Setu, AI Chowdhury, E Ahmed, A Islam, ...
IEEE Access, 2023
52023
Clustering Quality of a High-dimensional Service Monitoring Time-series Dataset.
F Anowar, S Sadaoui, H Dalal
ICAART (2), 183-192, 2022
52022
Generating cyber threat intelligence to discover potential security threats using classification and topic modeling
MI Hossen, A Islam, F Anowar, E Ahmed, MM Rahman
Cyber Security Using Modern Technologies, 141-153, 2021
42021
Incremental Learning with Self-labeling of Incoming High-dimensional Data
F Anowar, S Sadaoui
32021
A review on diabetes self-management applications for android smartphones: perspective of developing countries
F Anowar, M Ashraf, A Islam, E Ahmed, AI Chowdhury
2020 International Congress on Human-Computer Interaction, Optimization and …, 2020
32020
An Ensemble-based Dimensionality Reduction for Service Monitoring Time-series
F Anowar, S Sadaoui, H Dalal
3rd International Conference on Deep Learning Theory and Applications, 1-7, 2022
12022
Dimensionality Reduction of Service Monitoring Time-Series: An Industrial Use Case
F Anowar, S Sadaoui, H Dalal
SN Computer Science 4 (1), 23, 2022
2022
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Articles 1–20